upstream/ipython Files · tools/tests/inline_figshow.py

remove builtin extension examples...

remove builtin extension examples since they have all found new homes in external projects

Brian E. Granger - - Load All Authors

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             inline_figshow.py
        
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        Fernando Perez
    
Add manual test file as per review by @minrk.

              r6539
            
      """Manual test for figure.show() in the inline matplotlib backend.

      This script should be loaded for interactive use (via %load) into a qtconsole

        MinRK
    
pylab_figshow -> inline_figshow

              r15182
            
      or notebook initialized with the inline backend.

        Fernando Perez
    
Add manual test file as per review by @minrk.

              r6539
            
      Expected behavior: only *one* copy of the figure is shown.

      For further details:

      https://github.com/ipython/ipython/issues/1612

      https://github.com/matplotlib/matplotlib/issues/835

      """

      import numpy as np

      import matplotlib.pyplot as plt

        MinRK
    
pylab_figshow -> inline_figshow

              r15182
            
      plt.ioff()

        Fernando Perez
    
Add manual test file as per review by @minrk.

              r6539
            
      x = np.random.uniform(-5, 5, size=(100))

      y = np.random.uniform(-5, 5, size=(100))

      f = plt.figure()

      plt.scatter(x, y)

      plt.plot(y)

      f.show()

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Fernando Perez Add manual test file as per review by @minrk.	r6539	"""Manual test for figure.show() in the inline matplotlib backend.

		This script should be loaded for interactive use (via %load) into a qtconsole
MinRK pylab_figshow -> inline_figshow	r15182	or notebook initialized with the inline backend.
Fernando Perez Add manual test file as per review by @minrk.	r6539
		Expected behavior: only one copy of the figure is shown.


		For further details:
		https://github.com/ipython/ipython/issues/1612
		https://github.com/matplotlib/matplotlib/issues/835
		"""

		import numpy as np
		import matplotlib.pyplot as plt

MinRK pylab_figshow -> inline_figshow	r15182	plt.ioff()
Fernando Perez Add manual test file as per review by @minrk.	r6539	x = np.random.uniform(-5, 5, size=(100))
		y = np.random.uniform(-5, 5, size=(100))
		f = plt.figure()
		plt.scatter(x, y)
		plt.plot(y)
		f.show()